Autonomous task execution

Describe it. An agent builds itself and does the work.

Pravda creates a personal autonomous agent for every task you describe. It plans, writes code, runs a browser, self-corrects on failure, and delivers verified results.

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How it works

One prompt. A full agent pipeline.

You write a sentence describing what you need. Pravda decomposes it into atomic steps, assembles a tailored agent, and executes everything in a sandboxed container with a browser, code runtime, and network access.

You describe the task

In plain language. No templates, no configuration, no boilerplate.

An agent is assembled

A personal autonomous agent is built specifically for your task, with its own execution plan and tool set.

It executes in a sandbox

The agent runs in an isolated Docker container with Python, Chromium, and full network access. Cost-limited and monitored.

Results are delivered

Files, data, summaries, and screenshots. Verified output, ready to download or query through the API.

Use cases

Real prompts. Real results.

Every example below is an actual task you can run. Each one gets its own dedicated agent, built from scratch for that specific job.

Data extraction

Go to https://news.ycombinator.com, extract the top 30 story titles and URLs, and save the result as a CSV file

Research

Search for 'best Python web frameworks 2026', visit the top 5 results, and create a comparison summary with pros and cons. Save as JSON

Screenshot capture

Navigate to https://example.com and take a full-page screenshot

Form interaction

Go to https://httpbin.org/forms/post, fill in the form with test data, submit it, and return the server response

Multi-site aggregation

Visit https://github.com/trending, collect the top 10 trending repositories with names, descriptions, language, and star counts. Save as JSON

Content download

Go to https://example.com/reports and download all PDF files linked on the page

Price monitoring

Search Amazon for 'mechanical keyboard' and extract the name, price, and rating of the first 10 results. Return as CSV

Code generation

Build a Python REST API with JWT authentication, user registration, and unit tests. Return all source files

Each task spins up a dedicated agent with its own execution plan, browser instance, code environment, and validation pipeline. The agent decomposes your request into atomic steps, executes them, self-corrects on failure, and delivers verified output. Average cost per task is under one cent.

Describe it. An agent builds itself and does the work.

Start building.